The Predictive Value of the Inflammatory Prognostic Index for Detecting No-Reflow in ST-Elevation Myocardial Infarction Patients. / O Valor Preditivo do Índice Prognóstico Inflamatório para Detecção de No-Reflow em Pacientes com Infarto do Miocárdio com Supradesnivelamento do Segmento ST.

BACKGROUND: No-reflow (NR) is characterized by an acute reduction in coronary flow that is not accompanied by coronary spasm, thrombosis, or dissection. Inflammatory prognostic index (IPI) is a novel marker that was reported to have a prognostic role in cancer patients and is calculated by neutrophil/lymphocyte ratio (NLR) multiplied by C-reactive protein/albumin ratio. OBJECTIVE: We aimed to investigate the relationship between IPI and NR in ST-segment elevation myocardial infarction (STEMI) patients undergoing primary percutaneous coronary intervention (pPCI). METHODS: A total of 1541 patients were enrolled in this study (178 with NR and 1363 with reflow). Lasso panelized shrinkage was used for variable selection. A nomogram was created based on IPI for detecting the risk of NR development. Internal validation with Bootstrap resampling was used for model reproducibility. A two-sided p-value <0.05 was accepted as a significance level for statistical analyses. RESULTS: IPI was higher in patients with NR than in patients with reflow. IPI was non-linearly associated with NR. IPI had a higher discriminative ability than the systemic immune-inflammation index, NLR, and CRP/albumin ratio. Adding IPI to the baseline multivariable logistic regression model improved the discrimination and net-clinical benefit effect of the model for detecting NR patients, and IPI was the most prominent variable in the full model. A nomogram was created based on IPI to predict the risk of NR. Bootstrap internal validation of nomogram showed a good calibration and discrimination ability. CONCLUSION: This is the first study that shows the association of IPI with NR in STEMI patients who undergo pPCI.

FUNDAMENTO: O no-reflow (NR) é caracterizado por uma redução aguda no fluxo coronário que não é acompanhada por espasmo coronário, trombose ou dissecção. O índice prognóstico inflamatório (IPI) é um novo marcador que foi relatado como tendo um papel prognóstico em pacientes com câncer e é calculado pela razão neutrófilos/linfócitos (NLR) multiplicada pela razão proteína C reativa/albumina. OBJETIVO: Nosso objetivo foi investigar a relação entre IPI e NR em pacientes com infarto do miocárdio com supradesnivelamento do segmento ST (IAMCSST) submetidos a intervenção coronária percutânea primária (ICPp). MÉTODOS: Um total de 1.541 pacientes foram incluídos neste estudo (178 com NR e 1.363 com refluxo). A regressão penalizada LASSO (Least Absolute Shrinkage and Select Operator) foi usada para seleção de variáveis. Foi criado um nomograma baseado no IPI para detecção do risco de desenvolvimento de NR. A validação interna com reamostragem Bootstrap foi utilizada para reprodutibilidade do modelo. Um valor de p bilateral <0,05 foi aceito como nível de significância para análises estatísticas. RESULTADOS: O IPI foi maior em pacientes com NR do que em pacientes com refluxo. O IPI esteve associado de forma não linear com a NR. O IPI apresentou maior capacidade discriminativa do que o índice de imunoinflamação sistêmica, NLR e relação PCR/albumina. A adição do IPI ao modelo de regressão logística multivariável de base melhorou a discriminação e o efeito do benefício clínico líquido do modelo para detecção de pacientes com NR, e o IPI foi a variável mais proeminente no modelo completo. Foi criado um nomograma baseado no IPI para prever o risco de NR. A validação interna do nomograma Bootstrap mostrou uma boa capacidade de calibração e discriminação. CONCLUSÃO: Este é o primeiro estudo que mostra a associação de IPI com NR em pacientes com IAMCSST submetidos a ICPp.

A powerful approach to identify replicable variants in genome-wide association studies.

Replicability is the cornerstone of modern scientific research. Reliable identifications of genotype-phenotype associations that are significant in multiple genome-wide association studies (GWASs) provide stronger evidence for the findings. Current replicability analysis relies on the independence assumption among single-nucleotide polymorphisms (SNPs) and ignores the linkage disequilibrium (LD) structure. We show that such a strategy may produce either overly liberal or overly conservative results in practice. We develop an efficient method, ReAD, to detect replicable SNPs associated with the phenotype from two GWASs accounting for the LD structure. The local dependence structure of SNPs across two heterogeneous studies is captured by a four-state hidden Markov model (HMM) built on two sequences of p values. By incorporating information from adjacent locations via the HMM, our approach provides more accurate SNP significance rankings. ReAD is scalable, platform independent, and more powerful than existing replicability analysis methods with effective false discovery rate control. Through analysis of datasets from two asthma GWASs and two ulcerative colitis GWASs, we show that ReAD can identify replicable genetic loci that existing methods might otherwise miss.

Achilles tendon assessment on quantitative MRI: Sources of variability and relationships to tendinopathy.

Quantitative MRI (qMRI) measures are useful in assessing musculoskeletal tissues, but application to tendon has been limited. The purposes of this study were to optimize, identify sources of variability, and establish reproducibility of qMRI to assess Achilles tendon. Additionally, preliminarily estimates of effect of tendon pathology on qMRI metrics and structure-function relationships between qMRI measures and ankle performance were examined. T1, T1ρ, T2, and T2* maps of the Achilles tendon were obtained using a 3T MRI scanner. In participants with asymptomatic tendons (n = 21), MRI procedures were repeated twice, and region of interest selection was performed by three raters. Variance decomposition and reproducibility statistics were completed. To estimate the effect of pathology, qMRI measures from individuals with asymptomatic tendons were compared to qMRI measures from a pilot group of individuals with Achilles tendinopathy (n = 7). Relationships between qMRI and ankle performance measures were assessed. Between-participant variation accounted for the majority of variability (46.7%-64.0%) in all qMRI measures except T2*. ICCs met or exceeded 0.7 for all qMRI measures when averaged across raters or scans. Relaxation times were significantly longer in tendinopathic tendons (mean (SD) T1: 977.8 (208.6) ms, T1ρ: 35.4 (7.1) ms, T2: 42.8 (7.9) ms, T2*: 14.1 (7.6) ms, n = 7) compared to asymptomatic control tendons (T1: 691.7 (32.4) ms, T1ρ: 24.0 (3.6) ms, T2: 24.4 (7.5) ms, T2*: 9.5 (3.4) ms, n = 21) (p < 0.011 for all comparisons). T1 related to functional performance measures in symptomatic and asymptomatic groups. Study findings suggest that qMRI is reliable to assess the Achilles tendon. qMRI quantitatively assesses the presence of tendon pathology and relates to functional performance outcomes, supporting the utility of incorporating qMRI in research and clinic.

Psychometric properties of the Chilean version of the quality of life questionnaire for multiple myeloma.

OBJECTIVES: To evaluate the internal consistency and construct validity of the QLQ-MY20 for assessing the quality of life in multiple myeloma survivors in Chile. METHODS: This was a cross-sectional study conducted between March 2020 and December 2022. It involved 118 individuals from two public hospitals. The QLQ-C30 and QLQ-MY20 questionnaires were used. Internal consistency was assessed using Cronbach's alpha(α), and construct validity was evaluated through hypothesis testing (Mann-Whitney and Spearman correlation). RESULTS: The average age of participants was 67.2 years (SD=9.2). Internal consistency for the complete scale was α=0.779, for the "disease symptoms" dimension α=0.671, for the "side effects of treatments" dimension α=0.538, and for the "future perspective" dimension α=0.670. Four of the five construct validity hypotheses were confirmed: women, individuals with worse performance status, those with pain, and those with worse fatigue showed more symptoms. CONCLUSIONS: The Chilean version of the QLQ-MY20 demonstrates adequate internal consistency and construct validity.

Cancer patient satisfaction regarding the quality of information received: psychometric validity of EORTC QLQ-INFO25.

OBJECTIVES: to psychometrically validate the European Organization for Research and Treatment of Cancer Core Quality of Life Questionnaire EORTC QLQ-INFO25 instrument and identify the domains that influence patients' perception of the information received. METHODS: a cross-sectional methodology with cancer patients in a Brazilian philanthropic hospital institution. Sociodemographic and clinical instruments, EORTC QLQ-C30, EORTC QLQ-INFO25 and Supportive Care Needs Survey - Short Form 34 were used. Analysis occurred using Cronbach's alpha coefficients, intraclass correlation, test-retest and exploratory factor analysis. RESULTS: 128 respondents participated. Cronbach's alpha coefficient was 0.85. The test-retest obtained p-value=0.21. In the factor analysis, one item was excluded. Satisfaction with the information received was 74%, with three areas with averages below 70%. In open-ended questions, there was a greater desire for information. CONCLUSIONS: validity evidence was obtained with instrument reliability, consistency and stability. Respondents expressed satisfaction with the information received.

The impact of spike timing precision and spike emission reliability on decoding accuracy.

Precisely timed and reliably emitted spikes are hypothesized to serve multiple functions, including improving the accuracy and reproducibility of encoding stimuli, memories, or behaviours across trials. When these spikes occur as a repeating sequence, they can be used to encode and decode a potential time series. Here, we show both analytically and in simulations that the error incurred in approximating a time series with precisely timed and reliably emitted spikes decreases linearly with the number of neurons or spikes used in the decoding. This was verified numerically with synthetically generated patterns of spikes. Further, we found that if spikes were imprecise in their timing, or unreliable in their emission, the error incurred in decoding with these spikes would be sub-linear. However, if the spike precision or spike reliability increased with network size, the error incurred in decoding a time-series with sequences of spikes would maintain a linear decrease with network size. The spike precision had to increase linearly with network size, while the probability of spike failure had to decrease with the square-root of the network size. Finally, we identified a candidate circuit to test this scaling relationship: the repeating sequences of spikes with sub-millisecond precision in area HVC (proper name) of the zebra finch. This scaling relationship can be tested using both neural data and song-spectrogram-based recordings while taking advantage of the natural fluctuation in HVC network size due to neurogenesis.

Validating interRAI Chinese self-reported carer needs (SCaN) assessment and predicting caregiving distress among informal Chinese caregivers of older adults.

BACKGROUND: This study aims to (1) determine the reliability and validity of the interRAI Chinese Self-reported Carer Needs (SCaN) assessment among informal Chinese caregivers of older adults, (2) identify predictors of caregiving distress in Asian regions with long-standing Confucian values of filial piety and family responsibility. METHODS: This cross-sectional study recruited 531 informal Chinese caregivers of older adults in Hong Kong, Shanghai, Taiwan, and Singapore. The scale reliability was examined using Cronbach's alphas (α) and McDonald's omega coefficient (ω). The concurrent validity and discriminant validity were assessed using Spearman rank correlations (rho). To examine the predictors of caregiving distress among informal caregivers of older adults, we employed hierarchical linear regression analyses informed by the Model of Carer Stress and Burden and categorized the predictors into six domains. RESULTS: Results revealed good internal consistency reliability (α = 0.83-0.96) and concurrent validity (rho = 0.45-0.74) of the interRAI Chinese SCaN assessment. Hierarchical linear regression analysis revealed that entering the background factors, primary stressors, secondary stressors, appraisal, and exacerbating factors all significantly enhanced the model's predictability, indicating that the source of caregiving distress is multidimensional. In the full model, caregivers with longer informal care time, lack of support from family and friends, have unmet needs, experience role overload, have sleep problems, and low IADL functioning are at a higher risk of caregiving distress. CONCLUSIONS: The interRAI Chinese SCaN Assessment was found to be a reliable and valid tool among the Chinese informal caregivers of older adults. It would be useful for determining family caregivers' strengths, needs, and challenges, and tailoring interventions that address the potentially modifiable factors associated with caregiving distress and maximize support. Healthcare providers working in home and community settings should be aware of the early identification of caregiving distress and routine assessment of their needs and empower them to continue taking care of their needs and providing adequate care to the care recipient.

Reliability and validity of the short version of the childhood abuse self report scale in Chinese college students.

BACKGROUND: The reliability and validity of the current scale for measuring childhood abuse in China are worrying. The development of the Short Version of the Childhood Abuse Self Report Scale (CASRS-12) helps to change this situation, but the effectiveness of the tool has not yet been tested in Chinese participants. This study aims to test the reliability and validity of the CASRS­12 in Chinese college students. METHODS: A total of 932 college students were investigated, of whom 418 were investigated for the first time, and only the CASRS­12 was filled out. In the second survey, 514 participants filled out the CASRS­12, Depression Scale, Self-esteem Scale and Subjective Well-being Scale in turn. After 4 weeks, 109 participants were selected for retest. RESULTS: Each item of the CASRS­12 had good discrimination. Exploratory factor analysis and confirmatory factor analysis (χ2/df = 4. 18, RMSEA = 0. 079, CFI = 0. 95, TLI = 0. 94, IFI = 0. 95, NFI = 0. 94) all supported the four-factor structure of the scale, and the cumulative contribution rate of variance was 76.05%. Cronbach's α coefficient and retest reliability were 0.86 and 0.65, respectively. Childhood abuse was positively correlated with depression (r = 0. 42, p < 0.01), and negatively correlated with self-esteem (r=-0. 33, p < 0.01) and subjective well-being (r=-0. 32, p < 0.01). CONCLUSION: The Chinese version of CASRS­12 meets the measurement standard and could be used to measure the level of childhood abuse of Chinese college students.

Improved clinical data imputation via classical and quantum determinantal point processes.

Imputing data is a critical issue for machine learning practitioners, including in the life sciences domain, where missing clinical data is a typical situation and the reliability of the imputation is of great importance. Currently, there is no canonical approach for imputation of clinical data and widely used algorithms introduce variance in the downstream classification. Here we propose novel imputation methods based on determinantal point processes (DPP) that enhance popular techniques such as the multivariate imputation by chained equations and MissForest. Their advantages are twofold: improving the quality of the imputed data demonstrated by increased accuracy of the downstream classification and providing deterministic and reliable imputations that remove the variance from the classification results. We experimentally demonstrate the advantages of our methods by performing extensive imputations on synthetic and real clinical data. We also perform quantum hardware experiments by applying the quantum circuits for DPP sampling since such quantum algorithms provide a computational advantage with respect to classical ones. We demonstrate competitive results with up to 10 qubits for small-scale imputation tasks on a state-of-the-art IBM quantum processor. Our classical and quantum methods improve the effectiveness and robustness of clinical data prediction modeling by providing better and more reliable data imputations. These improvements can add significant value in settings demanding high precision, such as in pharmaceutical drug trials where our approach can provide higher confidence in the predictions made.

Spanish and Catalan Versions of the eHealth Literacy Questionnaire: Translation, Cross-Cultural Adaptation, and Validation Study.

BACKGROUND: The rise of digital health services, especially following the outbreak of COVID-19, has led to a need for health literacy policies that respond to people's needs. Spain is a country with a highly developed digital health infrastructure, but there are currently no tools available to measure digital health literacy fully. A well-thought-through questionnaire with strong psychometric properties such as the eHealth Literacy Questionnaire (eHLQ) is important to assess people's eHealth literacy levels, especially in the context of a fast-growing field such as digital health. OBJECTIVE: This study aims to adapt the eHLQ and gather evidence of its psychometric quality in 2 of Spain's official languages: Spanish and Catalan. METHODS: A systematic cultural adaptation process was followed. Data from Spanish-speaking (n=400) and Catalan-speaking (n=400) people were collected. Confirmatory factor analysis was used to confirm the previously established factor structure. For reliability, the Cronbach α and categorical ω were obtained for every subscale. Evidence of convergent and discriminant validity was provided through the correlation with the total score of the eHealth Literacy Scale. Evidence based on relations to other variables was evaluated by examining extreme values for educational level, socioeconomic level, and use of technology variables. RESULTS: Regarding the confirmatory factor analysis, the 7-factor correlated model and the 7 one-factor models had adequate goodness-of-fit indexes for both Spanish and Catalan. Moreover, measurement invariance was established between the Spanish and Catalan versions. Reliability estimates were considered adequate as all the scales in both versions had values of >0.80. For convergent and discriminant validity evidence, the eHealth Literacy Scale showed moderate correlation with eHLQ scales in both versions (Spanish: range 0.57-0.76 and P<.001; Catalan: range 0.41-0.64 and P<.001). According to the relationship with external variables, all the eHLQ scales in both languages could discriminate between the maximum and minimum categories in level of education, socioeconomic level, and level of technology use. CONCLUSIONS: The Spanish and Catalan versions of the eHLQ appear to be psychometrically sound questionnaires for assessing digital health literacy. They could both be useful tools in Spain and Catalonia for researchers, policy makers, and health service managers to explore people's needs, skills, and competencies and provide interesting insights into their interactions and engagement regarding their own experiences with digital health services, especially in the context of digital health growth in Spain.

An evaluation of the psychometric properties of the Australian Collaborative Practice Assessment Tool.

OBJECTIVES: This study aimed to validate the Collaborative Practice Assessment Tool (CPAT) in the Australian setting and provide a quality instrument in terms of psychometric properties that can be used to measure interprofessional outcomes for both healthcare practitioners and students. The outcomes evaluated include the capacity to work in an interprofessional team, good interprofessional communication skills, leadership skills, ensuring clear division of tasks and roles in a team, effective conflict management, and being actively involved with patients and their families/communities in care. METHODS: The COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) taxonomy and standards were used as guides for evaluating the psychometric properties of the Australian CPAT, which include evaluations regarding instrument development requirements of sample target and size, content validity, internal structure (structural validity, internal consistency reliability and measurement invariance), and hypotheses testing. CPAT Australia was developed through two stages involving pilot studies and a validation study, both of which included healthcare practitioners and students as participants. A pilot study examined content validity regarding item relevance, item comprehensibility, and instrument comprehensiveness. The validation study was carried out to assess the internal structure of CPAT Australia for aspects of structural validity, internal consistency reliabilities, and configural, metric and scalar measurement invariance. The structural validity was explored using the following three steps: exploratory, confirmatory, and multi-group factor analysis. Construct validity was evaluated to confirm direct and indirect paths of assumptions based on a previously validated model. Data collected between August 2021 and May 2022. RESULTS: The content validity evaluation confirmed that all items were relevant, understandable and comprehensive for measuring interprofessional collaborative care in Australia. Three hundred ninety-nine participants contributed to the validation study (n=152 practitioners; n=247 students). The original instrument model of 8-Factor 56-Item was improved in the Australian CPAT. Two items, Item 27 (Physicians assume the ultimate responsibility) and Item 49 (Final decision rest with the physician), were consistently rejected and therefore discarded. The internal structure of the 7-Factor 54-Item solution was confirmed as a suitable model with fit indices meeting COSMIN standards for a good model in practitioner and student cohorts. Configural, metric and scalar invariances were confirmed, indicating the invariance of the instruments when used for the practitioner and student cohorts. The construct validity evaluation indicated that 81.3% of direct and indirect assumptions were accepted, fulfilling the COSMIN requirement of >75% of proposed assumptions being accepted. CONCLUSION: The Australian CPAT with a 7-factor 54-item solution was confirmed as a quality measure for assessing interprofessional education and collaborative practice for both healthcare practitioners and students in Australia with robust psychometric properties.

Filtering walking actigraphy data in children with unilateral cerebral palsy: A preliminary study.

This study aimed to determine whether filtering out walking-related actigraphy data improves the reliability and accuracy of real-world upper extremity activity assessment in children with unilateral cerebral palsy. Twenty-two children aged 4-12 years diagnosed with unilateral cerebral palsy were included in this study, which was drawn from a two-phase randomized controlled trial conducted from July 2021 to December 2022. Data were collected from a tertiary hospital in Seoul, Republic of Korea. Participants were monitored using tri-axial accelerometers on both wrists across three time points (namely, T0, T1, and T2) over 3 days; interventions were used between each time point. Concurrently, an in-laboratory study focusing on walking and bimanual tasks was conducted with four participants. Data filtration resulted in a reduction of 8.20% in total data entry. With respect to reliability assessment, the intra-class correlation coefficients indicated enhanced consistency after filtration, with increased values for both the affected and less-affected sides. Before filtration, the magnitude counts for both sides showed varying tendencies, depending on the time points; however, they presented a consistent and stable trend after filtration. The findings of this research underscore the importance of accurately interpreting actigraphy measurements in children with unilateral cerebral palsy for targeted upper limb intervention by filtering walking-induced data.

Psychometric analysis of the modified COVID-19 Yorkshire Rehabilitation Scale (C19-YRSm) in a prospective multicentre study.

BACKGROUND: Long COVID (LC) is a novel multisystem clinical syndrome affecting millions of individuals worldwide. The modified COVID-19 Yorkshire Rehabilitation Scale (C19-YRSm) is a condition-specific patient-reported outcome measure designed for assessment and monitoring of people with LC. OBJECTIVES: To evaluate the psychometric properties of the C19-YRSm in a prospective sample of people with LC. METHODS: 1314 patients attending 10 UK specialist LC clinics completed C19-YRSm and EuroQol 5D-5L (EQ-5D-5L) longitudinally. Scale characteristics were derived for C19-YRSm subscales (Symptom Severity (SS), Functional Disability (FD) and Overall Health (OH)) and internal consistency (Cronbach's alpha). Convergent validity was assessed using the Functional Assessment of Chronic Illness Therapy (FACIT)-Fatigue Scale. Known groups validity was assessed for the Other Symptoms subscale as tertiles, as well as by hospitalisation and intensive care admission. Responsiveness and test-retest reliability was evaluated for C19-YRSm subscales and EQ-5D-5L. The minimal important difference (MID) and minimal clinically important difference (MCID) were estimated. Confirmatory factor analysis was applied to determine the instrument's two-factor structure. RESULTS: C19-YRSm demonstrated good scale characteristic properties. Item-total correlations were between 0.37 and 0.65 (for SS and FD), with good internal reliability (Cronbach's alphas>0.8). Item correlations between subscales ranged between 0.46 and 0.72. Convergent validity with FACIT was good (-0.46 to -0.62). The three subscales discriminated between different levels of symptom burden (p<0.001) and between patients admitted to hospital and intensive care. There was moderate responsiveness for the three subscales ranging from 0.22 (OH) to 0.50 (SS) which was greater than for the EQ-5D-5L. Test-retest reliability was good for both SS 0.86 and FD 0.78. MID was 2 for SS, 2 for FD and 1 for OH; MCID was 4 for both the SS and FD. The factor analysis supported the two-factor SS and FD structure. CONCLUSIONS: The C19-YRSm is a condition-specific, reliable, valid and responsive patient-reported outcome measure for LC.

Personal growth initiative across the life span: a systematic review protocol of quantitative studies using the Personal Growth Initiative Scale-II.

BACKGROUND: Personal Growth Initiative (PGI) a multi-dimensional construct, conceptualised as a skill set that helps individuals to intentionally grow is considered an important construct throughout the life span. Coping with the challenges, transitions, experiences and stressors of life requires an active growth orientation. In previous empirical research, the construct has been measured by either the PGIS-I or PGIS-II, of which only the latter takes account of the theoretically established multi-dimensionality of the construct. This paper describes the protocol for conducting a systematic review of published peer-reviewed empirical research articles on the multi-dimensional construct of PGI. The aim of this review is threefold: (1) to better understand the multi-dimensional construct PGI in different contexts and populations, (2) to improve our understanding of the reliability and validity of the PGIS-II in various research populations and (3) to obtain an overview of its associations with relevant psychosocial factors. METHODS: For the development of this protocol, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) reporting guidelines were used. Four databases and one registry will be searched using a predetermined search strategy for relevant studies. Studies will be screened, by two reviewers independently, against the established inclusion criteria. During the data extraction process, the quality of the included studies will be assessed using the Quality Assessment for Survey Studies in Psychology (Q-SSP). The collected data will then be analysed and reported in both narrative and tabular form according to the PRISMA 2020 statement guidelines and flow diagram. DISCUSSION: The findings of this study will increase our understanding of the dynamics of PGI throughout the lifespan, its associations with other psychosocial factors and the psychometric properties of the PGIS-II. It will also clarify where additional research is needed. The objectives of the proposed review can provide a basis for the development of practical applications and interventions. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42022377342.

Validation of the Chinese version of the coping strategies for victims of cyberbullying scale.

BACKGROUND: Although abundant evidence has confirmed cyberbullying as a global online risk, little is known about the coping strategies employed by victims and those who experiencing bullying. A validated scale for coping with cyberbullying could inform evidence-based social services and enable comparative studies of this phenomenon among victims from different backgrounds. This study aims to validate the Coping Strategies for Victims of Cyberbullying (CSVC) scale among Chinese adolescents and to compare its effectiveness between victims and bully-victims (individuals with dual roles). METHODS: A 25-item CSVC scale was translated and adapted for cultural relevance in the Chinese context. A sample of 1,716 adolescents, aged 13-18 years, from two middle schools and one high school in China, was recruited. Both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted. RESULTS: The EFA revealed that the Chinese version of the CSVC scale had satisfactory validity. The CFA demonstrated a good fit for the eight-factor model in assessing different coping strategies for cyberbullying. Differences in the selection of coping strategies were observed between the general adolescent population and sexual and gender minorities. CONCLUSIONS: Future intervention studies may use this validated scale to educate adolescents, both those affected by cyberbullying and those who are not, to learn a broader range of coping strategies and to choose more effective ones.

The application of innovative ecosystems to build resilient communities in response to major public health events.

In recent years, major public health events have had a significant and far-reaching impact on communities. As a response, there has been an increasing interest in enhancing community resilience through innovative ecosystems that involve diverse stakeholders with varying needs and demands. This study investigates the application of innovative ecosystems to improve community resilience in the face of major public health events by utilizing a sequential game approach to balance the interests of government, community, and residents. Subsequently, a comprehensive questionnaire survey was conducted among key stakeholders to ascertain their objectives, requirements and concerns for the innovation ecosystem based on the analysis results of the game model. The reliability and effectiveness of the proposed research method were verified through the analysis and verification of the sequence game model and questionnaire survey results. Finally, according to our analysis results, we propose countermeasures for promoting innovative ecosystems to improve community resilience. The research results indicate that the successful implementation of innovative ecosystems requires consideration of the different needs of stakeholders such as government officials, community members, and residents. Combining these perspectives can effectively promote such systems while enhancing the community's resilience to major public health events.

Within-subject reliability of brain networks during advanced meditation: An intensively sampled 7 Tesla MRI case study.

Advanced meditation such as jhana meditation can produce various altered states of consciousness (jhanas) and cultivate rewarding psychological qualities including joy, peace, compassion, and attentional stability. Mapping the neurobiological substrates of jhana meditation can inform the development and application of advanced meditation to enhance well-being. Only two prior studies have attempted to investigate the neural correlates of jhana meditation, and the rarity of adept practitioners has largely restricted the size and extent of these studies. Therefore, examining the consistency and reliability of observed brain responses associated with jhana meditation can be valuable. In this study, we aimed to characterize functional magnetic resonance imaging (fMRI) reliability within a single subject over repeated runs in canonical brain networks during jhana meditation performed by an adept practitioner over 5 days (27 fMRI runs) inside an ultra-high field 7 Tesla MRI scanner. We found that thalamus and several cortical networks, that is, the somatomotor, limbic, default-mode, control, and temporo-parietal, demonstrated good within-subject reliability across all jhanas. Additionally, we found that several other relevant brain networks (e.g., attention, salience) showed noticeable increases in reliability when fMRI measurements were adjusted for variability in self-reported phenomenology related to jhana meditation. Overall, we present a preliminary template of reliable brain areas likely underpinning core neurocognitive elements of jhana meditation, and highlight the utility of neurophenomenological experimental designs for better characterizing neuronal variability associated with advanced meditative states.

Healthy Minds Index: A brief measure of the core dimensions of well-being.

We developed a self-report measure of psychological well-being for teens and adults, the Healthy Minds Index, based on a novel theory that four trainable pillars underlie well-being: awareness, connection, insight, and purpose. Ninety-seven items were developed and revised by experts and guided by qualitative testing with teens (n = 32; average age = 16.0 years). After assessing the internal validity and factor structure in teens (n = 1607; average age = 16.7 years) and adults (n = 420; average age = 45.6 years), we reduced the survey to 17 items. We then validated the factor structure, internal and convergent and divergent validity, and retest reliability of the 17-item Healthy Minds Index in two new teen samples (study 1: n = 1492, average age = 15.7 years; study 2: n = 295, average age = 16.1 years), and one adult sample (n = 285; average age = 45.3 years). The Healthy Minds Index demonstrated adequate validity and provided a comprehensive measure of a novel theory of psychological well-being that includes two domains not found in other conceptualizations of this construct-awareness and insight. This measure will be invaluable for primary research on well-being and as a translational tool to assess the impact and efficacy of widely used behavioral training programs on these core dimensions of wellbeing.

Structural validity of the Rosenberg self-esteem scale in patients with schizophrenia in Indonesia.

BACKGROUND: The Rosenberg self-esteem scale (RSES) is a commonly employed instrument for measuring self-esteem in the general population and those with mental illness. However, confirmatory factor analyses (CFA) to determine the structural validity of the RSES for schizophrenia patients in Indonesia are limited. OBJECTIVES: We examined the structural validity of the RSES as a measurement for patients with schizophrenia in Indonesia through confirmatory factor analyses (CFA), as well as assessing internal consistency and reliability. METHODS: The sample comprised 260 participants. Over two weeks, 30 subjects were added to investigate test-retest reliability. The structural validity analyzed was based on a CFA to determine the model fit. We used internal consistency (Ordinal alpha) to evaluate the reliability evidence. RESULTS: Four different models were analyzed in this study. Considering the single-factor model (Model 1a), the overall fit criteria were inadequate. However, after some modification indices, all fit criteria were significantly adequate (Model 1b). The adequacy of all fit standards remained satisfactory when the two-factor model (Model 2) and hierarchical model (Model 3) were applied. The RSES had an ordinal alpha coefficient of 0.75. While 0.89 and 0.88 for the positive and negative self-esteem subscale, respectively. Test-retest reliability yielded adequate results with an interclass correlation score ranging from 0.87 to 0.93. CONCLUSIONS: The current investigation provided evidence supporting the structural validity, internal consistency, and reliability of the RSES, indicating that the RSES can be considered a valid and reliable measurement. A two-factor model of RSES was an appropriate model to measure self-esteem in our study. This finding suggests that the use of the RSES is beneficial and applicable in assessing levels of self-esteem in individuals diagnosed with schizophrenia in Indonesia.

Psychometric testing of the caregiver contribution to self-care of coronary heart disease inventory.

BACKGROUND: Caregivers are important contributors to the self-care of patients with coronary heart disease (CHD). AIMS: The aims of this study are to describe the development and psychometric properties of the caregiver contribution to self-care of coronary heart disease inventory (CC-SC-CHDI). METHODS: The CC-SC-CHDI was developed from the patient version of the scale, the Self-care of Coronary Heart Disease Inventory (SC-CHDI) and translated into Italian using forward and backward translation. Baseline data from the HEARTS-IN-DYADS study were used. Confirmatory factor analysis (CFA) was conducted to assess factorial validity; Cronbach's alpha and the model-based internal consistency index were used to test internal consistency reliability, and Pearson's correlation coefficient was used to test convergent validity, by investigating the association between the CC-SC-CHDI and the SC-CHDI scores. RESULTS: We included 131 caregivers (mean age 55 years, 81.2% females, 74% married) of patients affected by CHD (mean age 66 years, 80.2% males, 74% married). The CFA confirmed two factors in the caregiver contribution to self-care maintenance scale ("consulting behaviors" and "autonomous behaviors"), one factor for the CC to self-care monitoring scale, and two factors in the CC to self-care management scale ("consulting behaviors and problem-solving behaviors"). Reliability estimates were adequate for each scale (Cronbach's alpha and model-based internal consistency indexes ranging from 0.73 to 0.90). Significant and positive correlations were observed between CC-SC-CHDI and SC-CHDI scales. CONCLUSION: The CC-SC-CHDI has satisfactory validity and reliability and can be used confidently in clinical settings and research to assess caregiver contributions to CHD self-care.